You are viewing this page as an international student.
Change to Domestic

You are a domestic student if you are an Australian citizen, a New Zealand citizen or the holder of an Australian permanent visa.

You are an international student whether you are within or outside Australia and you do not meet the domestic student criteria.

Coronavirus (COVID-19): advice and support for the Bond community. Read more

ACSC71-305: Actuarial and Financial Models

Description

The aim of this subject is to provide a grounding in the principles of modelling as applied to actuarial work – focusing particularly on stochastic asset liability models and the valuation of financial derivatives. These skills are also required to communicate with other financial professionals and to critically evaluate modern financial theories.

Subject details

TypePostgraduate
CodeACSC71-305
EFTSL0.125
FacultyBond Business School
Semesters offered
  • September 2020 [Standard Offering]
  • January 2021 [Standard Offering]
  • September 2021 [Standard Offering]
  • January 2022 [Standard Offering]
  • September 2022 [Standard Offering]
Credit10
Study areas
  • Actuarial Science
Subject fees
  • Current: $5,430
  • Commencing in May 2021: $5,710

Learning outcomes

1. Apply modern asset and derivatives pricing theory to implement valuation methodology to insurance and finance applications
2. Assess stochastic models of financial securities and other asset pricing situations
3. Demonstrate the use of stochastic interest rate modelling concept and the practically used term structures modelling of interest rates
4. Analyse simple models for credit risk assessment.
5. Apply ruin theory to liability valuation in insurance contexts
6. Demonstrate run-off techniques in general insurance reserving applications
7. Design asset liability valuation methodologies in Excel/VBA to various insurance and finance applications.

Enrolment requirements

Requisites: ?

Pre-requisites: ?

Co-requisites: ?

There are no co-requisites.

Pre/Co-requisites: ?

Assumed knowledge:

Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge.

Possess demonstratable knowledge in mathematical statistics and probability theory to the level of a unit such as ACSC71-200 Mathematical Statistics.

Restrictions: ?

Nil

Subject outlines

Subject dates

Standard Offering
Enrolment opens10/11/2019
Semester start13/01/2020
Subject start13/01/2020
Cancellation 1?27/01/2020
Cancellation 2?03/02/2020
Last enrolment26/01/2020
Withdraw – Financial?08/02/2020
Withdraw – Academic?29/02/2020
Teaching census?07/02/2020
Standard Offering
Enrolment opens02/08/2020
Semester start14/09/2020
Subject start14/09/2020
Cancellation 1?28/09/2020
Cancellation 2?05/10/2020
Last enrolment27/09/2020
Withdraw – Financial?10/10/2020
Withdraw – Academic?31/10/2020
Teaching census?09/10/2020
Standard Offering
Enrolment opens15/11/2020
Semester start18/01/2021
Subject start18/01/2021
Cancellation 1?01/02/2021
Cancellation 2?08/02/2021
Last enrolment31/01/2021
Withdraw – Financial?13/02/2021
Withdraw – Academic?06/03/2021
Teaching census?12/02/2021